Data Insurance

VACHAN LAKKUR MURALIDHAR

Sunrise, FL 973-***-**** adg5lo@r.postjobfree.com https://www.linkedin.com/in/vachan-lakkur-muralidhar-abaa6959 OBJECTIVE

Experienced data science professional with excellent leadership and machine learning skills. Bringing 3+ years of hands-on experience in data processing, model building, deployment, and product architecture design. Proficient in scripting with Python and R languages and worked in a diverse set of data science projects. TECHNICAL SKILLS

Languages and Analytics Tools: Python, R, Tableau, SQL. Statistics Machine Learning: Regression, Classification Models, Deep Learning, Clustering, Hypothesis Testing, Anomaly Detection, Time-series Forecasting, CNN, and NLP. Other Technologies: Docker, Kubernetes, Kafka, and Flask WORK EXPERIENCE AND

Data Scientist, Accelirate, Inc. (06/18 – present)

• Leading a team of data scientists, worked on various predictive analytics, document processing, and natural language processing projects.

• Led and successfully delivered various client engagement and internal products in Accelirate, Inc. Optimizing mortgage refinancing marketing campaigns using predictive modeling

• Revamped the traditional mortgage refinancing marketing campaigns with predictive modeling. This project increased the direct mail campaigns response rate by around 30%.

• Extensively worked on understanding various financial factors effects on refinancing in existing mortgage portfolios to effectively model using random forests.

• Improving the 90-day mortgage delinquency models to improve the performance during high volatile periods. Auto-insurance claims processing using document classification and custom-entity extraction

• Developed and deployed deep learning based RNN models to classify the insurance claim documents from the customer claim documents.

• Implemented the BERT based entity recognition models to extract the custom entities from the insurance claim letters.

• Extensively used Azure cloud technologies to build the model pipelines, reporting, and exceptional handling. Detect and prevention of fraud in gaming terminals using anomaly detection

• Working on LSTM and density-based clustering models to detect the anomalies preemptively arising in casino gaming terminals.

• Developed the Kafka based stream processing network for data pipelines and model ingestion.

• Integrated the data ingestion and model pipelines to the existing AWS Kinesis stream processing network. Design of efficient scheduler application for RPA bots

• Developed an end-to-end application to minimize the license utilization and SLA beaches of RPA bots using time series forecasting.

• Utilized SARIMA based time-series forecasting and other statistical models to predict the daily volumes and arrival times to optimally schedule the process.

• This project resulted in decreasing the bot utilization and SLA breaches by 50%. Other Experience

Defense Research & Development Organization (DRDO), India- Intern

• Involved in the design of classification model for research project “war Fighter Physical activity, Physiological and Psychological monitoring system”, to classify the time series sensor data based on physical activity. EDUCATION

Master of Science (MS)- Information Technology, Rutgers University, New Brunswick CGPA: 3.93/4.00 Coursework: Data Mining, Artificial Intelligence, Time-Series Forecasting, Data Analysis and Decision-Making, Data Base Management, Regression Methods, Linear and Nonlinear modeling, Web Analytics. Bachelor of Technology, PSG College of Technology, India

Contact this candidate